End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems

Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang. End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 5445-5460, Association for Computational Linguistics, 2020. [doi]

@inproceedings{ShakeriSZNNWNX20,
  title = {End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems},
  author = {Siamak Shakeri and Cícero Nogueira dos Santos and Henghui Zhu and Patrick Ng and Feng Nan and Zhiguo Wang and Ramesh Nallapati and Bing Xiang},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.439/},
  researchr = {https://researchr.org/publication/ShakeriSZNNWNX20},
  cites = {0},
  citedby = {0},
  pages = {5445-5460},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}